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A Case Study of Crowdsourcing Imagery Coding in Natural Disasters

  • Cobi Smith
Chapter
Part of the Multimedia Systems and Applications book series (MMSA)

Abstract

Crowdsourcing and open licensing allow more people to participate in research and humanitarian activities. Open data, such as geographic information shared through OpenStreetMap and image datasets from disasters, can be useful for disaster response and recovery work. This chapter shares a real-world case study of humanitarian-driven imagery analysis, using open-source crowdsourcing technology. Shared philosophies in open technologies and digital humanities, including remixing and the wisdom of the crowd, are reflected in this case study.

Keywords

Tacit Knowledge Polar Analysis Sentiment Analysis Personal Protective Equipment Disaster Response 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Australian National UniversityCanberraAustralia

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